Pertemuan 3 Praktikum Praktikum Visualisasi Data dan Informasi

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Koding Untuk Pertemuan 3
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pip install seaborn pandas
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import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
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tips = sns.load_dataset('tips')
print(tips.head())
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sns.histplot(data=tips, x='total_bill', bins=10, kde=True, color='blue')
plt.title('Distribusi Total Bill')
plt.show()
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sns.boxplot(data=tips, x='day', y='total_bill', palette='Set2')
plt.title('Boxplot Total Bill per Hari')
plt.show()
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sns.scatterplot(data=tips, x='total_bill', y='tip', hue='sex', style='time', palette='deep')
plt.title('Hubungan Total Bill dan Tip')
plt.show()
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import warnings
warnings.filterwarnings("ignore", category=UserWarning)
pairplot = sns.pairplot(tips, hue='sex', palette='coolwarm')
plt.show()
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print(tips.info())
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numerical_tips = tips.select_dtypes(include=['float64', 'int64'])
correlation = numerical_tips.corr()
print(correlation)
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import seaborn as sns
import matplotlib.pyplot as plt
sns.heatmap(correlation, annot=True, cmap='coolwarm', linewidths=0.5)
plt.title('Heatmap Korelasi Variabel Numerik')
plt.show()
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